Mani Entezami

Intelligent acoustic-based fault diagnosis of roller bearings using a deep graph convolutional network

Dingcheng Zhang, Edward Stewart, Mani Entezami et al. · Measurement · 2020 · 207 citations · Full text

Fault Diagnosis, Condition Monitoring, Engineering +7

Fault detection and diagnosis within a wind turbine mechanical braking system using condition monitoring

Mani Entezami, Stuart Hillmansen, Paul Weston et al. · Renewable Energy · 2012 · 78 citations · Full text

Fault Diagnosis, Condition Monitoring, Reliability Engineering +6

Adaptive fault feature extraction from wayside acoustic signals from train bearings

Dingcheng Zhang, Mani Entezami, Edward Stewart et al. · Journal of Sound and Vibration · 2018 · 74 citations · Full text

Fault Diagnosis, Condition Monitoring, Engineering +7

Wayside detection of faults in railway axle bearings using time spectral kurtosis analysis on high-frequency acoustic emission signals

Arash Amini, Mani Entezami, Zheng Huang et al. · Advances in Mechanical Engineering · 2016 · 66 citations · Full text

Railway Traffic, Fault Diagnosis, Condition Monitoring +14

Onboard detection of railway axle bearing defects using envelope analysis of high frequency acoustic emission signals

Arash Amini, Mani Entezami, Mayorkinos Papaelias · Case Studies in Nondestructive Testing and Evaluation · 2016 · 65 citations · Full text

Railway Traffic, Condition Monitoring, Envelope Analysis +12